Data Mining in Finance : Advances in Relational and Hybrid Methods / by Boris Kovalerchuk, Evgenii Vityaev.
Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book fo...
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| Online Access: |
Full Text (via Springer) |
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| Format: | eBook |
| Language: | English |
| Published: |
Boston, MA :
Kluwer Academic Publishers,
©2002.
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| Series: | International series in engineering and computer science ;
547. |
| Subjects: |
Internet
Full Text (via Springer)Online
| Call Number: |
HG4515.5
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| HG4515.5 | Available |